2 papers
math.NA2023
Nonlinear Expectation Inference for Efficient Uncertainty Quantification and History Matching of Transient Darcy Flows in Porous Media with Random Parameters Under Distribution Uncertainty
Zhao Zhang, Xinpeng Li, Menghan Li +4
The uncertainty quantification of Darcy flows using history matching is important for the evaluation and prediction of subsurface reservoir performance. Conventional methods aim to…
cs.SE2017
The Eclipse Integrated Computational Environment
Jay Jay Billings, Andrew R. Bennett, Jordan Deyton +10
Problems in modeling and simulation require significantly different workflow management technologies than standard grid-based workflow management systems. Computational scientists…